Yang Xianyi, Che Huizheng, Chen Quanliang, et al. Retrieval of aerosol optical properties by skyradiometer over urban Beijing. J Appl Meteor Sci, 2020, 31(3): 373-384. DOI:   10.11898/1001-7313.20200311.
Citation: Yang Xianyi, Che Huizheng, Chen Quanliang, et al. Retrieval of aerosol optical properties by skyradiometer over urban Beijing. J Appl Meteor Sci, 2020, 31(3): 373-384. DOI:   10.11898/1001-7313.20200311.

Retrieval of Aerosol Optical Properties by Skyradiometer over Urban Beijing

DOI: 10.11898/1001-7313.20200311
  • Received Date: 2020-01-13
  • Rev Recd Date: 2020-03-15
  • Publish Date: 2020-05-31
  • Aerosol particles can scatter and absorb solar radiation and affect microphysical processes of clouds to change the earth's radiation budget. It is reported that aerosol particles not only have an impact on climate change, but also cause polluted environment and affect human health. Ground-based measurement networks such as AERONET and SKYNET are very useful and accurate ways to monitor the spatio-temporal distribution of aerosols using the sun-sky radiometric technique. Aerosol optical properties retrieved by a PREDE skyradiometer are used to analyze the variation of aerosol in Beijing from October 2018 to September 2019. Results show that aerosol optical depth at 500 nm is high from February to July, the highest value is 0.71 in June, the highest single scattering albedo is 0.96 in August and the lowest value is 0.89 in May, Ångström exponent in summer (1.11) is higher than that in spring (0.89), and the volume size distribution pattern shows typical bimodal in every month. According to the Chinese National Secondary Standards for PM2.5, pollution days are picked. It is found that pollution days only account for 17%, of which 62% are light pollution days. The statistical result of air quality in Beijing is good from October 2018 to September 2019. Aerosol optical properties and PM2.5 under pollution and clean weather conditions in Beijing are discussed. The value of PM2.5 under pollution weather condition is 2.27 times larger than that under clean weather condition, values of aerosol optical depth at 500 nm are 0.85 and 0.49 under pollution and clean weather conditions, respectively. Values of single scattering albedo are 0.96 and 0.92 under pollution and clean weather conditions, respectively. The value of Ångström exponent under pollution weather condition (1.02) is larger than that under clean weather condition (0.91) in winter while the value of Ångström exponent under pollution weather condition (0.87) is smaller than that under clean weather condition (0.90) in spring. Skyradiometer retrieved data, combined with lidar measurement and meteorological data are used to analyze a serious pollution event in winter over Beijing. The result suggests that poor meteorological conditions (low wind speed and high relative humidity), the hygroscopic growth of aerosol, aerosol secondary transformation, local emissions and regional transportation lead to this serious pollution event.

  • Fig. 1  Comparison of the aerosol optical depth observed by skyradiometer and those of MODIS in Beijing(39.933°N, 116.317°E, 105 m)

    (solid and dashed lines denote one-one line and the expected error line, respectively)

    Fig. 2  Monthly averaged variation in aerosol optical properties from skyradiometer measurements in Beijing from Oct 2018 to Sep 2019

    (a)aerosol optical depth at 500 nm, (b)single scattering albedo at 500 nm, (c)Ångströmm exponent at 440-870 nm

    Fig. 3  Monthly averaged variation in volume size distribution from skyradiometer measurements in Beijing from Oct 2018 to Sep 2019

    Fig. 4  Volume size distribution of different aerosol types in Beijing from Oct 2018 to Sep 2019

    (a)highly absorbing particles, (b)moderately absorbing particles, (c)weakly absorbing particles

    Fig. 5  Daily averaged aerosol optical depth at 500 nm and PM2.5 in Beijing from 1 Jan to 31 Jan in 2019

    (the shaded denotes pollution period)

    Fig. 6  Temporal variation of particulate concentration and meteorological elements from 8 Jan to 15 Jan in 2019

    (a)PM2.5 and PM10, (b)visibility and relative humidity

    Fig. 7  Daily averaged variation of Ångström exponent from skyradiometer in Beijing from 8 Jan to 15 Jan in 2019

    Fig. 8  Averaged volume size from skyradiometer in Beijing from 8 Jan to 15 Jan in 2019

    Fig. 9  Temporal and spatial distribution of extinction coefficient(a) and the depolarization ratio(b) at 532 nm in Beijing from 9 Jan to 14 Jan in 2019

    Table  1  Air quality rank statistics from 11 Oct 2018 to 30 Sep 2019

    PM2.5浓度/(μg·m-3) 空气质量等级 实际日数/d 仪器有效观测日数/d
    (0, 35] 171 135
    (35, 75] 123 103
    (75, 115] 轻度污染 38 24
    (115, 150] 中度污染 12 8
    (150, 250] 重度污染 11 2
    (250, 500] 严重污染 0 0
    DownLoad: Download CSV

    Table  2  Statistics of aerosol optical depth from 8 Jan to 15 Jan in 2019

    日期 波段
    400 nm 500 nm 670 nm 870 nm 1020 nm
    01-08 0.12 0.10 0.07 0.06 0.05
    01-09 0.85 0.68 0.55 0.45 0.40
    01-10 0.58 0.42 0.31 0.24 0.21
    01-11 1.13 0.89 0.70 0.57 0.51
    01-12 0.95 0.71 0.50 0.38 0.33
    01-13
    01-14 0.77 0.59 0.44 0.35 0.30
    01-15 0.16 0.15 0.13 0.12 0.11
    DownLoad: Download CSV

    Table  3  Statistics of single scattering albedo from 8 Jan to 15 Jan in 2019

    日期 波段
    400 nm 500 nm 670 nm 870 nm 1020 nm
    01-08 0.90 0.93 0.87 0.82 0.80
    01-09 0.93 0.96 0.96 0.97 0.95
    01-10 0.94 0.99 0.99 0.97 0.91
    01-11 0.92 0.98 0.96 0.95 0.92
    01-12 0.93 0.99 0.99 0.97 0.92
    01-13
    01-14 0.91 0.99 0.99 0.99 0.94
    01-15 0.83 0.84 0.82 0.84 0.84
    DownLoad: Download CSV
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    • Received : 2020-01-13
    • Accepted : 2020-03-15
    • Published : 2020-05-31

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